MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048533 A) filed by B Jyothi, Guntur, Andhra Pradesh, on April 16, for 'predictive battery swapping scheduling using ai.'
Inventor(s) include B Jyothi; P. Harshitha; P Bhavana; M Vennelasri; T S M Rohith; and K Bhavesh.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The invention presents an AI-based predictive scheduling system for battery swapping stations in electric vehicles. The system utilizes machine learning techniques, including Long Short-Term Memory (LSTM) models, to forecast vehicle arrival patterns and demand fluctuations. Based on these predictions, an intelligent decision-making framework evaluates multiple parameters such as station distance, queue length, and battery availability to recommend the optimal station. A dynamic reservation strategy is incorporated to ensure resource availability during peak demand periods. Experimental results demonstrate significant improvements in waiting time reduction, resource utilization, and service efficiency. The proposed system offers a scalable and reliable solution for next-generation electric vehicle infrastructure."
Disclaimer: Curated by HT Syndication.
